Added new dataset OpenDataLog. The dataset stores detailed information regarding issues with the open data portal, new or changes to datasets on the portal as well as other information related to the City's Open Data Portal

Artificial Intelligence vacancies collection to support FAIRsFAIR Artificial Intelligence Professional Competences

This dataset is provided as validation and support for the analysis of Artificial Intelligence competences. The dataset includes a collection of vacancies from the job application website indeed.com that responded to the search term "Artificial Intelligence".

The used search term could be easily adjusted in the provided code at Github Repository. The heavy extensive research analysis is reflected in graphs, described and reflected in Thesis.

DISCLAIMER: The license for this dataset is 'Restrictive License', but please refer to the original sources of the data for licensing information. We are only redistributing it within their limitation.Information_This is the Air Quality Sensor Data Repository as published in the following workhttps://www.arxiv.org/abs/2508.02724The dataset is a zip file sized roughly 25GB. The unzipped data is roughly 70GB of only CSV and JSON data.To abide by the original owners' licensing, we publish only the raw data and provide all code for preprocessing through the following repository:https://github.com/YahiDar/AQ-SDRPlease check the documentation in the repository to further understand the dataset characteristics.We also provide the modeling and machine learning aspect of the work through:https://github.com/YahiDar/VeliLicenses_Each data source has a different license. Please make sure you are using the data appropriately as requested by the original provided.KNMI Data (folder name: /EU_data/KNMI):The original license is CC BY 4.0as documented on their webpage: https://www.knmidata.nl/open-dataLuchtMeetNet data (folder names: /EU_data/lucht_root and /EU_data/luchtmeetnet_csvs):The original license is CC BY-ND 4.0as documented on their webpage: https://www.luchtmeetnet.nl/informatie/download-data/open-dataRIVM SamenMeten data (folder name: /EU_data/crowd_stations_root):The original license is not specified, but it is open to use and redistribute.as documented on their webpage: https://www.samenmeten.nl/international/OpenDataSensor.Community data (folder name: /EU_data/sencom_hourly):The original license is DbCL v1.0as documented on their webpage: https://sensor.community/nl/Taiwan Ministry of Environment data (folder name: /out_of_distribution_downloaded/downloaded_ref):The original license is The Open Government Data License, version 1.0as documented on their webpage: https://data.gov.tw/licensePM2.5 Open Data Portal - LASS (folder name: /out_of_distribution_downloaded/downloaded_lcs):The original license is CC BY-NC-SA 4.0as documented on their webpage: https://pm25.lass-net.org/Acknowledgement_We sincerely thank the Dutch government for supporting this research with the starter grant (startersbeurzen). We also thank the organizations and researchers who provide the open data to enable this research, including the Dutch National Institute for Public Health and the Environment (RIVM), the Dutch Royal Netherlands Meteorological Institute (KNMI), Dr. Ling-Jyh Chen in Taiwan Academia Sinica for the AirBox project, the Taiwan Ministry of Environment, the Sensor.Community platform, and the European Environmental Agency (EEA). We also thank the GGD Amsterdam and RIVM for providing information about how air quality sensor stations work in the Netherlands. We also thank the CREATE Lab at the Robotics Institute at Carnegie Mellon University for the technical support in building the air quality dashboard.

O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in Oosterbeek et al. (2023, https://doi.org/10.5281/zenodo.10053970), a deposit of Movebank study 1605799506.

This is the dataset from an online experiment testing the effects of multimodal congruence on perceived credibility, perceived deception, and civil society engagement intentions in the context of the debate on migration and integration in Germany. It compares the website communication of a government agency and a civil society agency. The related article can be found at: xxx (to be filled in after publication).

This animal tracking dataset is derived from Oosterbeek et al. (2022, https://doi.org/10.5281/zenodo.6603183) a deposit of Movebank study 1605799506. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_BALGZAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2010 to 2014. In total 22 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged while overwintering in the Balgzand area in the Western Wadden Sea (the Netherlands), mainly to study how they utilize intertidal flats in relation to food availability in winter. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by the project Monitoring abundance, composition, development and spatial variation in macrozoobenthos and birds of the national programme for sea and coastal research (ZKO) of the Netherlands Organization for Scientific Research (NWO). Additional funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in Dokter et al. (2023, https://doi.org/10.5281/zenodo.10053932), a deposit of Movebank study 1605798640.

This animal tracking dataset is derived from Dokter et al. (2022, https://doi.org/10.5281/zenodo.6603023) a deposit of Movebank study 1605798640. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_BALGZAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2010 to 2014. In total 22 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged while overwintering in the Balgzand area in the Western Wadden Sea (the Netherlands), mainly to study how they utilize intertidal flats in relation to food availability in winter. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by the project Monitoring abundance, composition, development and spatial variation in macrozoobenthos and birds of the national programme for sea and coastal research (ZKO) of the Netherlands Organization for Scientific Research (NWO). Additional funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

This dataset is a dump made on 14 December 2020 of the metadata of the submissions to the Corona in the City platform, including URLs that link to the submission content, which has been processed by the listed authors. Corona in the City is a project by the Amsterdam Museum, the museum that documents the story of the Dutch capital as it evolved in the past millennium. The museum developed an online, bilingual (Dutch-English) platform that was launched on 30 April 2020 for the collection of contributions from “all inhabitants, visitors and lovers of Amsterdam” that document their experiences with the Covid-19 pandemic. The explicit aim was to present these contributions in an online exhibition that opened on 15 May 2020. In order to ensure a wide variety of contributions, the museum collaborated with 45 local partner institutions, some of which curated their contributions in dedicated virtual exhibition rooms. By December 2020 the exhibition counted just over 3.000 submissions and had drawn 100.000 visitors; it is presently still open for contributions and new exhibition rooms are added occasionally.In line with the Privacy Policy of our Archiving COVID-19 Communities project (https://covid19communities.humanities.uva.nl/privacy-policy), for which we analyzed this dataset, we anonymized the original datadump by removing names of submitters, phone numbers and IP addresses. Email addresses of submitters have been anonymized by mapping them to unique identifyers. Although both the title of the submissions and summary description columns in many cases also reference person names, we considered that, since all submitters have consented to being mentioned on the Corona in the City website and having their submissions analyzed by the University of Amsterdam for research purposes (see https://www.coronaindestad.nl/en/terms-and-conditions/), these data could remain as received.

This animal tracking dataset is derived from Dijkstra et al. (2022, https://doi.org/10.5281/zenodo.5653311) a deposit of Movebank study 1605797471. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands) is a bird tracking dataset published by the Vogelwerkgroep Assen, Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the study O_ASSEN using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational in 2018 and 2019. In total 6 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird in the city of Assen (the Netherlands), mainly to study space use of oystercatchers breeding in urban areas. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. These data were collected by Bert Dijkstra and Rinus Dillerop from Vogelwerkgroep Assen, in collaboration with the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University and the University of Amsterdam (UvA). Funding was provided by the Prins Bernard Cultuurfonds Drenthe, municipality of Assen, IJsvogelfonds (from Birdlife Netherlands and Nationale Postcodeloterij) and the Waterleiding Maatschappij Drenthe. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Complete historical game data between Virginia and Virginia Tech including scores, dates, locations, and game statistics.

O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands) is a bird tracking dataset published by the Vogelwerkgroep Assen, Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the study O_ASSEN using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2018 to 2019. In total 6 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird in the city of Assen (the Netherlands), mainly to study space use of oystercatchers breeding in urban areas. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

These data were collected by Bert Dijkstra and Rinus Dillerop from Vogelwerkgroep Assen, in collaboration with the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University and the University of Amsterdam (UvA). Funding was provided by the Prins Bernard Cultuurfonds Drenthe, municipality of Assen, IJsvogelfonds (from Birdlife Netherlands and Nationale Postcodeloterij) and the Waterleiding Maatschappij Drenthe. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in Dijkstra et al. (2023, https://doi.org/10.5281/zenodo.10053903), a deposit of Movebank study 1605797471.

Complete historical game data between Clemson and Virginia including scores, dates, locations, and game statistics.

This animal tracking dataset is derived from Koks et al. (2022, https://doi.org/10.5281/zenodo.6574736) a deposit of Movebank study 922263102. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. H_GRONINGEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding in Groningen (the Netherlands) is a bird tracking dataset collected by the Grauwe kiekendief - Kenniscentrum Akkervogels (GKA) / Dutch Montagu’s Harrier Foundation and published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the project/study H_GRONINGEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2012 until 2018. In total 4 individuals of Western marsh harriers (Circus aeruginosus) have been tagged in their breeding area in the province Groningen (the Netherlands) close to the Netherlands-Germany border, mainly to study their habitat use and migration behaviour. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

This animal tracking dataset is derived from Spanoghe et al. (2022, https://doi.org/10.5281/zenodo.5879096) a deposit of Movebank study 1099562810. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_WESTERSCHELDE - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in East Flanders (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study O_WESTERSCHELDE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2018. In total 13 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged in their breeding area in East Flanders (Belgium), west of the river Scheldt, mainly to study their habitat use on mudflats of the Western Scheldt (the Netherlands). Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by the Sovon Dutch Centre for Field Ornithology.

Complete historical game data between Old Dominion and Virginia including scores, dates, locations, and game statistics.

Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtained from measurements that are performed as a function of another quantitative variable, e.g., time, length, concentration, or wavelength. The results from these types of experiments are often used to generate plots that visualize the measured variable on a continuous, quantitative scale. To simplify state-of-the-art data visualization and annotation of data from such experiments, an open-source tool was created with R/shiny that does not require coding skills to operate it. The freely available web app accepts wide (spreadsheet) and tidy data and offers a range of options to normalize the data. The data from individual objects can be shown in 3 different ways: (1) lines with unique colors, (2) small multiples, and (3) heatmap-style display. Next to this, the mean can be displayed with a 95% confidence interval for the visual comparison of different conditions. Several color-blind-friendly palettes are available to label the data and/or statistics. The plots can be annotated with graphical features and/or text to indicate any perturbations that are relevant. All user-defined settings can be stored for reproducibility of the data visualization. The app is dubbed PlotTwist and runs locally or online: https://huygens.science.uva.nl/PlotTwist

Complete historical game data between North Carolina and Virginia including scores, dates, locations, and game statistics.